Objective Using zebrafish to analyze the effect of water temperature on the recovery of spinal cord in-jury. To detect the cell proliferation and changes of gene expression at the injury site during the process of recovery. Meth-ods Surgical operation was performed to induce spinal cord injury ( SCI) on adult fish. Water at a series of temperature was applied to culture the fish. Swimming ability was adopted to observe the recovery of spinal cord injury following surger?y. Vibration sections and immunohistochemistry were performed to observe the cell number post SCI at different stages. The changes of gdnf and nos gene expression were determined by real?time PCR. Results The water temperature changes from 28℃ to 32℃ did not affect the swimming ability of non?injured and sham?injured fish ( P>0. 05 ) . The swimming ability recovered mostly in 8 weeks post spinal cord injury. At 32℃, the swimming ability recovered faster than at 28℃ or at 30℃(P<0. 05). The cell proliferation increased obviously following spinal cord injury (P<0. 05). The proliferation of cells surrounding the spinal cord in jury was more extensive in SCI fishes incubated in 32℃ water than in 28℃ or 30℃ water ( P<0. 05). Real?time PCR assay showed that gdnf was up?regulated in all groups post SCI at 24 h, and 7 and 14 days (P<0. 05). The nos expression was up?regulated in all groups following SCI in 24 h (P<0. 05) and 7 days. There was no sig?nificant difference between the SCI group and sham?injury group (P<0. 05), while after 14 days, the expression of nos was reduced in the SCI group compared with the sham?injury group (P<0. 05). Conclusions A slight increase of incu?bating water temperature can accelerate the recovery of spinal cord injury in zebrafish.

Abstract: Upon monitoring cytoplasmic aberrant double-stranded DNA, cGAS-STING signaling pathway induces the expression of type I interferons and pro-inflammatory cytokines, which activates the host immune response and enhances anti-tumor immune response and resistance to pathogen infection. However, sustained activation of the cGAS-STING signaling pathway drives diseases such as autoimmune diseases, aging-associated inflammation, and neurodegenerative pathologies. Herein, we describe the mechanism by which cGAS-STING signaling pathway participates in regulating the development of various immune-related diseases, with a particular review of the research and development progress of STING agonists, cGAS inhibitors, and STING inhibitors, aiming to provide some theoretical reference for the future development of cGAS-STING modulators.

Objective To analyze the clinical characteristics and follow-up data of catheter ablation of recurrent atrial tachycardias (ATs) after Mini-Maze surgery,and to explore prognostic factors for recurrence.Methods 59 patients in Guangdong General Hospital with ATs post Mini-Maze and concomitant open-heart surgery from April.2010 to June.2015 were included.According to high density precise mapping,activation mapping,voltage mapping and entrainment mapping,they underwent electrophysiological study and ablation which was guided by three-dimensional mapping system.All patients were followed up regularly.We explored the prognostic factors for recurrence by the Cox regression analysis.Results There were 88 types of ATs being mappedwith mean (1.49 ± 0.75) types of ATs identified per case.Most ATs were macro-reentry ATs(67/88,76.1％)and focal ATs (20/88,22.7％),respectively.56 patients (94.9％) achieved immediate ablation success.In a mean follow-up of (30.8 ± 17.7) months,recurrences were observed in 12 patients after the first time catheter ablation.Recurrent time was 3.5 (1.3,12.0) months and the overall ablation success rate was 74.6％ (44/59).6 patients received second ablation and the achievement of freedom from arrhythmias reached 79.7％ (47/59).Multivariate analysis showed that the LA diameter was the independent predictor for recurrence (HR 1.108,95％ CI 1.002 to 1.226,P =0.045).Conclusion Catheter ablation of ATs post Mini-Maze with concomitant surgery is save and feasible.LA diameter is the independent predictor for recurrence.

Image 1.

A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or off-target effects. Recently, the fast accumulation of gene transcriptional profiling data provides us an unprecedented opportunity to explore the protein targets of chemical compounds from the perspective of cell transcriptomics and RNA biology. Here, we propose a novel Siamese spectral-based graph convolutional network (SSGCN) model for inferring the protein targets of chemical compounds from gene transcriptional profiles. Although the gene signature of a compound perturbation only provides indirect clues of the interacting targets, and the biological networks under different experiment conditions further complicate the situation, the SSGCN model was successfully trained to learn from known compound-target pairs by uncovering the hidden correlations between compound perturbation profiles and gene knockdown profiles. On a benchmark set and a large time-split validation dataset, the model achieved higher target inference accuracy as compared to previous methods such as Connectivity Map. Further experimental validations of prediction results highlight the practical usefulness of SSGCN in either inferring the interacting targets of compound, or reversely, in finding novel inhibitors of a given target of interest.
Drug Delivery Systems ; Proteins ; Transcriptome